Sökning: "Dimensionsreduktion"

Hittade 5 uppsatser innehållade ordet Dimensionsreduktion.

1. 1. Data Classification System Based on Combination Optimized Decision Tree : A Study on Missing Data Handling, Rough Set Reduction, and FAVC Set Integration

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Xuechun Lu; [2023]
   Nyckelord :Missing data handling; Rough set reduction; FAVC Set; ID3; Saknade datahantering; Rough set reducering; FAVC Set; ID3;

   Sammanfattning : Data classification is a novel data analysis technique that involves extracting valuable information with potential utility from databases. It has found extensive applications in various domains, including finance, insurance, government, education, transportation, and defense. LÄS MER

3. 2. Estimating Poolability of Transport Demand Using Shipment Encoding : Designing and building a tool that estimates different poolability types of shipment groups using dimensionality reduction.

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Marvin Kërçini; [2023]
   Nyckelord :Poolability; Transport networks; Autoencoder; Dimensionality reduction; Vehicle Routing Problem; Raggruppabilità; Reti di trasporto; Autoencoder; Riduzione della dimensionalità; Vehicle Routing Problem; Poolbarhet; Transportnätverk; Autokodare; Dimensionsreduktion; Fordonsdirigeringsproblem;

   Sammanfattning : Dedicating less transport resources by grouping goods to be shipped together, or pooling as we name it, has a very crucial role in saving costs in transport networks. Nonetheless, it is not so easy to estimate pooling among different groups of shipments or understand why these groups are poolable. LÄS MER

4. 3. The Impact of Swampland Conjectures

   Master-uppsats, Uppsala universitet/Teoretisk fysik

   Författare :Daniel Nilsson; [2023]
   Nyckelord :String theory; Quantum gravity; Swampland program; Effective field theories;

   Sammanfattning : The Swampland program is way of sorting effective field theories based on conjectures of how an effective field theory consistent with quantum gravity should look like. In this thesis we take a closer look at the No Global Symmetries Conjecture, the Weak Gravity Conjecture, the de Sitter Conjecture and the Trans-Planckian Censorship Conjecture. LÄS MER

5. 4. Correlation coefficient based feature screening : With applications to microarray data

   Magister-uppsats, Umeå universitet/Statistik

   Författare :Agnes Holma; [2022]
   Nyckelord :;

   Sammanfattning : Measuring dependency between variables is of great importance when performing statistical analysis and can for instance be used for feature screening. Therefore, it is interesting to find measures that can quantify the dependencies, even if the dependencies are complex. LÄS MER

7. 5. PCA based dimensionality reduction of MRI images for training support vector machine to aid diagnosis of bipolar disorder

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Beichen Chen; Amy Jinxin Chen; [2019]
   Nyckelord :Bipolar disorder; diagnosis; computer-aided medical diagnosis; SVM; Support vector machine; PCA; Principal component analysis; dimensionality reduction; feature reduction; neuroimaging; MRI; sMRI; machine learning; classification; psychiatric disorders; mental illness; Bipolär sjukdom; diagnotisering; datorstödd medicinsk diagnotisering; SVM; stödvektormaskin; PCA; principalkomponentanalys; MRI; magnetisk resonanstomografi; MRT; dimensionalitetsreduktion; maskininlärning; dimensionsreduktion; klassificering; psykiska sjukdomar;

   Sammanfattning : This study aims to investigate how dimensionality reduction of neuroimaging data prior to training support vector machines (SVMs) affects the classification accuracy of bipolar disorder. This study uses principal component analysis (PCA) for dimensionality reduction. LÄS MER